We use speech utterances from two datasets in our study:
IEMOCAP [1]} and MSP-IMPROV [2]}, two of the most commonly used datasets in emotion classification [3]}, [4]}. Both datasets were collected to simulate natural dyadic interactions
between actors and have similar labeling schemes. We use utterances with majority agreement
ground-truth labels. We only consider utterances with happy, sad, angry,
and neutral labels.
